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10X Genomics single cell transcriptomics
Single Cell Transcriptomics, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/single-cell+transcriptomics/bio_rxiv__64898__2026__06__01__729304-34-7-9
Average 86 stars, based on 1 article reviews
single cell transcriptomics - by Bioz Stars, 2026-09
86/100 stars

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Related Articles

Activity Assay:

Article Title: Regional differences in progenitor metabolism shape brain growth during development.
Article Snippet: Article Regional differences in progenitor metabolism shape brain growth during development

Article Title: Advance and Application of Single-cell Transcriptomics in Auditory Research
Article Snippet: , 2022 , Single-cell transcriptomic landscapes of the otic neuronal lineage at multiple early embryonic ages , Cell Reports , Mouse , 10x Genomics , GSE178931.

Article Title: Deep learning-based approaches for multi-omics data integration and analysis
Article Snippet: scGPT [ ] , GPT , 10X Genomics [ ], CELLxGENE [ ] , single-cell transcriptomics, single-cell epigenomics, single-cell proteomics , Yes , foundation model; diverse tasks: cell type annotation, multi-batch integration, multi-omic integration, perturbation response prediction, gene network inference.

Article Title: Single-cell transcriptomics reveals diverse and complex gene expression alterations in human trisomy 18
Article Snippet: To understand complexity of such anomalies, we analyzed single-cell transcriptomics of amniotic fluid cells associated with normal and trisomy 18 fetuses using 10X Genomics.

RNA Sequencing:

Article Title: Regional differences in progenitor metabolism shape brain growth during development.
Article Snippet: Article Regional differences in progenitor metabolism shape brain growth during development

Article Title: Advance and Application of Single-cell Transcriptomics in Auditory Research
Article Snippet: , 2022 , Single-cell transcriptomic landscapes of the otic neuronal lineage at multiple early embryonic ages , Cell Reports , Mouse , 10x Genomics , GSE178931.

Article Title: Deep learning-based approaches for multi-omics data integration and analysis
Article Snippet: scGPT [ ] , GPT , 10X Genomics [ ], CELLxGENE [ ] , single-cell transcriptomics, single-cell epigenomics, single-cell proteomics , Yes , foundation model; diverse tasks: cell type annotation, multi-batch integration, multi-omic integration, perturbation response prediction, gene network inference.

Article Title: Single-cell transcriptomics reveals diverse and complex gene expression alterations in human trisomy 18
Article Snippet: To understand complexity of such anomalies, we analyzed single-cell transcriptomics of amniotic fluid cells associated with normal and trisomy 18 fetuses using 10X Genomics.

Single-cell Transcriptomics:

Article Title: Regional differences in progenitor metabolism shape brain growth during development.
Article Snippet: Article Regional differences in progenitor metabolism shape brain growth during development

Article Title: Advance and Application of Single-cell Transcriptomics in Auditory Research
Article Snippet: , 2022 , Single-cell transcriptomic landscapes of the otic neuronal lineage at multiple early embryonic ages , Cell Reports , Mouse , 10x Genomics , GSE178931.

Article Title: Deep learning-based approaches for multi-omics data integration and analysis
Article Snippet: scGPT [ ] , GPT , 10X Genomics [ ], CELLxGENE [ ] , single-cell transcriptomics, single-cell epigenomics, single-cell proteomics , Yes , foundation model; diverse tasks: cell type annotation, multi-batch integration, multi-omic integration, perturbation response prediction, gene network inference.

Article Title: Single-cell transcriptomics reveals diverse and complex gene expression alterations in human trisomy 18
Article Snippet: To understand complexity of such anomalies, we analyzed single-cell transcriptomics of amniotic fluid cells associated with normal and trisomy 18 fetuses using 10X Genomics.

In Silico:

Article Title: Regional differences in progenitor metabolism shape brain growth during development.
Article Snippet: Article Regional differences in progenitor metabolism shape brain growth during development

Article Title: Advance and Application of Single-cell Transcriptomics in Auditory Research
Article Snippet: , 2022 , Single-cell transcriptomic landscapes of the otic neuronal lineage at multiple early embryonic ages , Cell Reports , Mouse , 10x Genomics , GSE178931.

Article Title: Deep learning-based approaches for multi-omics data integration and analysis
Article Snippet: scGPT [ ] , GPT , 10X Genomics [ ], CELLxGENE [ ] , single-cell transcriptomics, single-cell epigenomics, single-cell proteomics , Yes , foundation model; diverse tasks: cell type annotation, multi-batch integration, multi-omic integration, perturbation response prediction, gene network inference.

Article Title: Single-cell transcriptomics reveals diverse and complex gene expression alterations in human trisomy 18
Article Snippet: To understand complexity of such anomalies, we analyzed single-cell transcriptomics of amniotic fluid cells associated with normal and trisomy 18 fetuses using 10X Genomics.

Single-cell Analysis:

Article Title: Regional differences in progenitor metabolism shape brain growth during development.
Article Snippet: Article Regional differences in progenitor metabolism shape brain growth during development

Article Title: Advance and Application of Single-cell Transcriptomics in Auditory Research
Article Snippet: , 2022 , Single-cell transcriptomic landscapes of the otic neuronal lineage at multiple early embryonic ages , Cell Reports , Mouse , 10x Genomics , GSE178931.

Article Title: Deep learning-based approaches for multi-omics data integration and analysis
Article Snippet: scGPT [ ] , GPT , 10X Genomics [ ], CELLxGENE [ ] , single-cell transcriptomics, single-cell epigenomics, single-cell proteomics , Yes , foundation model; diverse tasks: cell type annotation, multi-batch integration, multi-omic integration, perturbation response prediction, gene network inference.

Article Title: Single-cell transcriptomics reveals diverse and complex gene expression alterations in human trisomy 18
Article Snippet: To understand complexity of such anomalies, we analyzed single-cell transcriptomics of amniotic fluid cells associated with normal and trisomy 18 fetuses using 10X Genomics.



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